Sample-efficient Deep Learning for Surrogate-assisted Evolutionary Optimization of Nanostructures
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https://data.mendeley.com/datasets/8h832nrkfy
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资源简介：
A Deep Neural Network surrogate-assisted Differential Evolution algorithm for a broadband anti-reflection coating thin-film multilayer optic design. Novel training loss functions, that emphasize a model's ability to predict a structurally similar response, are used.
The folder makes available the code, jupyter notebooks, datasets, plotting
routines for data display.
创建时间：
2020-04-30
